Ebrahimi, Mohammad Ali, Dehghan Dehnavi, Hassan, Mirabi, Mohammad, Honari, Mohammad Taghi, Sadeghian, Abolfazl. (1403). The application of meta-synthesis in the identification of new combined genetic algorithm methods to solve complex problems. هنرهای کاربردی, 15(7), 183-195. doi: 10.22075/ijnaa.2023.31038.4550
Mohammad Ali Ebrahimi; Hassan Dehghan Dehnavi; Mohammad Mirabi; Mohammad Taghi Honari; Abolfazl Sadeghian. "The application of meta-synthesis in the identification of new combined genetic algorithm methods to solve complex problems". هنرهای کاربردی, 15, 7, 1403, 183-195. doi: 10.22075/ijnaa.2023.31038.4550
Ebrahimi, Mohammad Ali, Dehghan Dehnavi, Hassan, Mirabi, Mohammad, Honari, Mohammad Taghi, Sadeghian, Abolfazl. (1403). 'The application of meta-synthesis in the identification of new combined genetic algorithm methods to solve complex problems', هنرهای کاربردی, 15(7), pp. 183-195. doi: 10.22075/ijnaa.2023.31038.4550
Ebrahimi, Mohammad Ali, Dehghan Dehnavi, Hassan, Mirabi, Mohammad, Honari, Mohammad Taghi, Sadeghian, Abolfazl. The application of meta-synthesis in the identification of new combined genetic algorithm methods to solve complex problems. هنرهای کاربردی, 1403; 15(7): 183-195. doi: 10.22075/ijnaa.2023.31038.4550

The application of meta-synthesis in the identification of new combined genetic algorithm methods to solve complex problems

International Journal of Nonlinear Analysis and Applications
مقاله 17، دوره 15، شماره 7، مهر 2024، صفحه 183-195    اصل مقاله (976.6 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.31038.4550
نویسندگان
Mohammad Ali Ebrahimi1؛ Hassan Dehghan Dehnavi* 1؛ Mohammad Mirabi2؛ Mohammad Taghi Honari1؛ Abolfazl Sadeghian1
1Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran
2Department of Industrial Engineering, Meybod University, Meybod, Iran
چکیده
The current research aims to identify new combined genetic algorithm methods to solve complex problems. The researcher has analyzed the results and findings of the previous researchers using a systematic reviewing approach and has identified the effective factors by implementing the 7 steps of Sandelowski and Barroso’s method. Among 4320 articles, 54 articles were selected based on the CASP method. In this manner, in order to evaluate reliability and quality control, the Kappa index was used, and its value was deemed to be in high compatibility regarding the identified factors. The results of the analysis of the collected data in ATLAS TI software led to the identification of 9 categories and 33 primary codes of new combined genetic algorithm methods to solve complex problems. Based on the coding, 9 categories, and 33 initial codes were identified. The identified categories are layout design, supply network, programming, Anticipation, inventory control, information security, imaging, medical imaging and wireless network.
کلیدواژه‌ها
Genetic algorithm؛ complex problems؛ meta-synthesis
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